social media monitoring

Taking Radian 6 for instance, which is established in 2006 and takes the tech- nology lead in social media monitoring market, offers a holistic view of real-time social network and easy to use and suit for various business sizes, and collects mass number of data by variables including topic, sentiment, importance, etc. from social media communities like Facebook, Twitter, LinkedIn, and blogs, etc. [9] [25]. With this app, companies’ social media conversations are listened, mo- nitored and analyzed, and also a whole set of workflow and engagement tools, and also the engagement platforms help organizations to contact with consum- ers; besides, it provides four price plans including Business, Standard, Advanced, and Pro [6]. From the report [15], large numbers of Radian 6 users are among over majority of the Fortune 100 global brands such as Dell, GE, Kodak, Pepsico, UPS, and so on, large companies like Oracle, Dell and Comcast use Radian 6 as their social media monitoring software, as the data of [9] shows that over 22,000 daily posts related to Dell are tracked by Radian 6. As Radian 6 added features with Salesforce.com including Sales and Service Cloud, Salesforce Chatter in 2011, which record employees’ respond or follow up with users’ chosen key- words, tag and route events, and this acquisition has also proved the significance of SCRM that consumers take part in preferred social media channels [25].

This short paper examines the visual representation of the impact of Facebook liking activity. The emphasis is on the reverse and negative effects of the less commonly reported effects of decay rates or ‘unliking’. By employing visualisations through this paper it is also an exploration of the mechanisms by which social media monitoring can become an integral aspect of management information reporting and decision making. The overall question posed by this work is what aspects of social media monitoring can provide clear benefits to an organisation and ultimately what social media objectives create genuine value for an organisation?

Abstract: This paper explores some key ways in which the scale and form of information today challenges some of sociol- ogy’s core methods and practice. Information has shaped sociology in two key ways. First, it has become an object of study, largely in the form of accounts of the epochal shift to ‘the information society’. This paper examines interactivity as a key element of such changes, especially in relation to the mass media. The second way in which sociology is being transformed by the growth of information is that, with the growth of huge volumes of commercial transactional information, social data is no longer the preserve of sociologists. Moreover, new tools have emerged to challenge the research methods that lie at the heart of sociology. This paper explores this argument, originally developed by Savage and Burrows, in relation to the BBC World Service’s use of social media monitoring tools. It examines some implications of the growth of interactivity, and the associated new forms of data and new research tools, to explore some key implications of information for the practice of sociology today. It concludes that the vast amount of available information affords new possibilities for sociologists as well as for the organisations that collect it, but that this requires sociologists to develop new tools and practices.

We collected 16799 questionnaires from Henan Social Opinion Survey Center, and cleaned up the data, got 3334 valid samples. Because the questionnaire involves 14 measurement items, we uses the principal component analysis method to reduce the dimension, and gets 6 principal components, as shown in TABLE I.

The results of this Delphi survey suggest that there is broad support for using event-based social media monitoring and pathogen WGS technologies to enhance communicable dis- ease surveillance systems across sectoral groups and relevant policy networks. Panellists agreed there is a need to establish a policy framework to ensure appropriate safeguards are in place to protect privacy and that the public is consulted so that they are not unnecessarily alarmed by, or suspicious of, the introduction of new processes for data collection and analyses. However, the emphasis of reforms should be on enabling effective research and surveillance to be conducted, where common benefits are possible. In this regard, the con- cerns of Australian policy-makers and experts on this issue are not unique. A recent WHO review points to the need to engage with affected communities to establish the condi- tions and protections under which it is acceptable for sur- veillance to take place and develop institutional mechanisms that ensure ethical issues are systematically addressed before data collection, use and dissemination [45]. Given that these technologies are already available and have the potential to enhance the capacity of Australian and other health author- ities to investigate and prevent outbreaks of infectious dis- ease, with their attendant social and economic costs, the development of clear ethical and legal guidance is urgently needed. The absence of such policy and procedural protec- tions means that public health authorities are likely to only employ these new technologies sporadically, such that op- portunities to protect individuals and the wider population from harm will be missed.

Background: This paper explores the relationship between social class and social media use, and draws upon the work of Bourdieu examining class in terms of social, economic and cultural capital. The paper starts from a prior finding that those who predominantly only use social media formed a higher proportion of internet users from lower socio-economic groups. Data: Drawing on data from two nationally representative UK surveys the paper makes use of the Ofcom Media Literacy survey (n ≈ 1800 per annum) and the Department of Digital, Culture, Media and Sport Taking Part survey (n ≈ 10,000 per annum). Methods: Following Yates, et al. (2015a), five types of internet behaviour and eight types of internet user are identified utilising a principal components analysis and k-means clustering. These internet user types are then examined against measures of social, economic and cultural capital. Data on forms of cultural consumption and digital media use are examined using multiple correspondence analysis. Findings: The paper concludes that forms of digital media use are in correspondence with other social, cultural and economic aspects of social class status and contemporary social systems of distinction.

14 technology. It is important with all aspects that the company clearly defines the responsibilities of all the social media members involved in the process of the social media control of the firm. Several authors agree that in order to successfully deploy social media, companies need to provide specific training and education for the employees allocated to the social media task. Resources include the financial part, namely the budget for implementing such a strategy with all related technological expenses such as Facebook Ads and tool subscriptions, as well as the allocation of the dedicated time and staff. In the present paper resources contain expertise or training that is needed, quality control of massages and necessary technology. The second concept is ‘engage’. This concept comprises of all those aspects and key elements of social media strategy about reaching out, getting attention of certain target audiences and interacting with them. For a successful social media presence, it is moreover essential to define your target audience in your social media strategy. In order to design the social media presence in a way that different types of customers are addressed, it is important to reconsider different group characteristics. Social media is primarily used for approaching customers, but a reason to be present might also be to interact with suppliers or vendors of the firm. Goals build the basis for a social media strategy, whereby it is important that these goals are measurable. This needs to be done so that the strategy can be evaluated and constantly adapted if necessary. Various authors point out that the content published on social media is one of the core elements of a strategy. The social media content should fit the company culture and should be of significant quality. Furthermore it is important

Establishing a digital presence is a must of academics in the digital era we are currently living in but it is not without its risks. You and your work are open to criticism from other social media users and in some extreme cases people have been harassed on social media. But don’t let this put you off! This section will help you to manage these risks and provides you with advice on how to seek help should you ever be subject to harassment online. Here is a link to the University of Salford's reputation management on social media: https://www.salford.ac.uk/social-media-guidelines

This study aims to formulate a social media strategy framework that appropriate in government organization that has a low interaction rate with public through their social media accounts. The research methods used was qualitative and quantitative on a government organization which has already use social media however the utilization was still low. The process of data collection was done by interview, observation and documents studies. The social media strategy was formulated using framework developed by Karl Werder combined with SWOT analysis, PEST analysis and 7s model. The strategy priority was determined by using AHP analysis. Three stages of social media framework formulation have been identified and the implementation results suggest that the organization need to prioritize the strategies that have the objective to improve the complaint handling and then followed by the strategies related to engagement and awareness.

Abstract—We describe a user study of a mHealth prototype system based on a wellbeing scenario, exploiting the quantified- self approach to measurement and monitoring. We have used off-the-shelf equipment, with opensource, web-based, software, and exploiting the increasing popularity of smartphones and self- measurement devices in a user study. We emulate a mHealth scenario as a pre-clinical experiment, as a realistic alternative to a clinical scenario, with reduced risk to sensitive patient medical data. We discuss the efficacy of this approach for future mHealth systems for remote monitoring. Our system used the popular Fitbit device for monitoring personal wellbeing data, the Diaspora online social media platform (OSMP), and a simple Android/iOS remote notification application. We implemented remote moni- toring, asynchronous user interaction, multiple actors, and user- controlled security and privacy mechanisms. We propose that the use of a quantified-self approach to mHealth is particularly valuable to undertake research and systems development.

The present study has several limitations. First limitation of the research lies in the fact that it was conducted on a sample of large companies. Generalizing these fi ndings to companies of a different size could be misleading. Second, the research sample consisted of large joint-stock companies located in the USA. Generalizing the fi ndings to other joint-stock companies located outside of the USA could again be misleading. Third, the analysis covered relatively small sample of companies. Expansion of a sample could bring more reliable results. Any further research may include other companies from other regions and also discuss differences in the use of social media across the market and countries. Because the aim of our research was mainly to prove or deny the connection between eWOM and companies performance, future research can go further and closely evaluate the extent of this connection between eWOM and fi nancial results of B2C companies. A downside of this research is the fact that the credibility of the posts’ authors was not evaluated, as suggested by Ruan, Durresi and Alfantoukh (2018).

The result shows that borrowers who disclosed their social media information have a significantly lower default probability compared to those who did not. To rule out the effect of self-selection, we leverage a natural experiment introduced by the P2P lending site that enabled borrowers to link to their social media sites. We employ the propensity score matching (PSM) technique to assess the relationship and find that the results are consistent. Furthermore, we examine the relationship between borrowers ’ social media engagement and their default probability. We find that social media engagement, such as the scope of the borrowers’ social network and their activity level on a social media site, act as predictors of their default probability.

agree with this statement and that people have changed due to social media. For one thing, people allow themselves to become more public or private on Facebook. As the article says, “Gay kids became un-gay, partiers took down their party photos, political firebrands put out their fires.” I see some truth to this statement, but I do not one hundred percent agree with it. When Facebook first started out there weren’t a lot of people who had accounts, so it would make sense that if you were a private person you would feel that you could post more and not face

However, while Lee and Kim (2018) did not use Customer Engagement as a possible predictor, this study did and found it to be of importance. While one can argue that meaning and concern are similar to benefits or a sort of gratification, Factor Analysis shows that gratification and Customer Engagement are indeed different constructs. Moreover, Discriminant Validity (Appendix D) was established showing that Customer Engagement and Hedonic Benefits are two different constructs. There are some differences between this study and that by Lee and Kim (2018). Their study location was South-Korea and this survey took place in Europe. While this study focussed on why people would intend to Co-create on Facebook itself, their study was on Corporate Social Networking Sites among people that already do Co-create. While these differences may explain some divergence in results, it appears that Customer Engagement is a predictor for Co-creation. Besides that, Hedonic Benefits seem to explain most of the expected gratification by itself.

Gardner continues, “Part of the equation for making Social CRM effective comes from properly capturing the natural language knowledge delivered through the many social channels available to users. Even that is but a first step to being able to gain ever-deeper analysis, however, and rapidly and securely making those insights available where they pay off best. This podcast brings together customer analytics services provider Attensity, with its natural-language processing technology, and HP Vertica, with Big Data analytics capabilities, to explain how to effectively listen to the social Web and rapidly gain valuable insights and actionable intelligence.

dence collected between 2015 and 2017 from Brazil, Canada, China, Germany, Poland, Taiwan, Russia, Ukraine, and the United States. According to their definition, Computational propaganda is “the use of algorithms, automation, and human curation to purposefully distribute misleading information over social media networks”. The project identified these main find- ings: a) Social media are significant platforms for political en- gagement and crucial channels for disseminating news content. Social media platforms are the primary media over which young people develop their political identities; b) Social media are ac- tively used as a tool for public opinion manipulation, though in diverse ways and on different topics; c) In every country they found civil society groups trying, but struggling, to protect themselves and respond to active misinformation campaigns; d) the authors highlight that this study is the first systematic col- lection and analysis of country-specific case studies geared to- wards exposing and analyzing computational propaganda (Woolley, Howard 2017).

Dave Willis suggested that one should not use social media to impress others, but one should use it to create some impact. Deborah Weinstein considers social media as the new wild. The wildest thing for the marketers. Every organization is trying to enhance its social presence, create a better brand identify, attract more people, build communities in the virtual space. One gets to use a lot of opportunities in the form of various social platforms like Twitter, Facebook, LinkedIn, etc. Using these, one can also showcase their newest technology, invention or the type of services he/she is offering. Social media gives you a way to influence people by having a person-to-person communication. It is quite useful in spreading awareness, changing behavior and acceptance. With the help of proper and powerful tactics of communication, one can use social networks for brand-building, protection strategy as well as for providing better maintenance.

The first step, researchers did a study of the utilization of social media facebook by a third of politicians through the facebook account respectively. As expressed by Nasrullah (2015:61) that social reality-research in siber social media online can be done through document-level media (Media Archive) and the object of the media (Media Object). Document-level media used to see how the contents (as a text and meaning contained in it) is published through social media. While the media object-level look at how the activity and user interaction as well as airport users, in both micro as well as macro-units units. Media object refers to the text or the context around the text in social media. The results of the analysis of facebook account politicians informant through the method of the document object of the media and the media showed that the messages conveyed are interactive and got a positive response. This means that there is interaction between the Padang city politicians with the community. Posting messages that are displayed when a Padang city politicians are classified can be divided into 3 parts namely 1. Appear in the form of pictures. 2. Perform in the form of words. 3. Appears in the form of pictures and words.

automated accounts that constantly update and thus creating an abnormally high volume of conversation. Noisy, false and incomplete data can distort the data analysis in such a way that the outcomes do not portray a veritable pattern. To overcome this kind of mistake research point to the complete process of knowledge discovery from databases in which data is cleaned out from outliers before it is thoroughly analyzed (Han et al. 2012.) Despite the fact that millions of users are active on social media, creating massive amounts of data every day, social media users still are not a representative sample of the population (Kalampokis, Tambouris and Tarabanis 2013 & Schoen et al. 2013). One explanation for this is the fact that the younger generation which is far more prevalent on Social Media is often over-represented in samples and therefore the results cannot signify the whole population (Gayo-Avello, 2011). Gayo-Avello (2012) adds that in general a demographic bias exists since not every age, gender, social or racial group is represented equally on Twitter. This can be generalized for most of the other Social Media platforms that are currently used. Another explanation could perhaps be that most users simply do not actively participate very much. Nielsen (2006) explains the participation inequality in Social Media on the basis of the 90-9-1 rule. This rule basically states that 90 percent of social media users are only reading and observing but will most likely not contribute anything. Nine percent of online users will contribute from time to time, resulting in ten percent of overall postings on the internet and lastly, 1 percent of social media users are responsible for 90 percent of all postings on Social media platforms. Gayo-Avello (2012) refers

such as Twitter, Google+, Facebook and other social network sites. Organizations and people relying on the Social Media for information and opinion of other users on diverse subject matters Online Social Network (OSN) mining has been a active area of research in the current years. The huge amount of Data is available in Online Social Networks (OSNs) poses a great challenge for researchers to analyze such networks. The data generated from OSNs is dynamic and need the intelligent mining of dynamic OSN data. . In this paper we take into consideration important current topics related to OSN mining